An image fusion based on multimodal medical images renders a considerable
enhancement in the quality of fused images. An effective image fusion technique produces …

Image Fusion is a process of combining the relevant information from a set of images into a
single image, where the resultant fused image will be more informative and complete than …

In this paper, a squeeze-and-decomposition network (SDNet) is proposed to realize multi-
modal and digital photography image fusion in real time. Firstly, we generally transform …

In this paper, we propose a fast unified image fusion network based on proportional
maintenance of gradient and intensity (PMGI), which can end-to-end realize a variety of …

Abstract The Convolutional Neural Networks (CNNs) based multi-focus image fusion
methods have recently attracted enormous attention. They greatly enhanced the constructed …

Multimodal medical image fusion is an important task for the retrieval of complementary
information from medical images. Shift sensitivity, lack of phase information and poor …

Multimodal medical image fusion is effectuated to minimize the redundancy while
augmenting the necessary information from the input images acquired using different …

In recent years, extensive multimodal medical image fusion algorithms have been proposed.
However, existing methods are primarily based on specific transformation theories. There …

Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB
explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion …

The same sensor or a number of image sensors are used to take a series of photographs in
order to gather as much data as possible about the scene. Several imaging techniques are …